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Hail is the costliest atmospheric hazard in Switzerland, causing substantial damage to agriculture, cars and buildings every year. In this study, a 12‐year statistic of objectively identified cold fronts and a radar‐based hail statistic are combined to investigate the co‐occurrence of cold fronts and hail in Switzerland. In a first step, an automated front identification scheme, which has previously been designed for and applied to global reanalysis data, is modified for a high‐resolution regional analysis data set. This front detection method is then adapted, tested and applied to the Consortium for Small Scale Modelling (
Details
Cold;
Consortia;
Datasets;
Mountains;
Identification;
Thunderstorms;
Frontal zones;
Cold fronts;
Radar;
Resolution;
Agriculture;
Regional analysis;
Data analysis;
Scale models;
Regional planning;
Atmospheric models;
Hail formation;
Storms;
Algorithms;
Detection;
Wind shear;
Small-scale models;
Automation;
Cold front;
Atmospheric sciences
1 Geophysical Institute and Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway; Institute of Geography, University of Bern, Bern, Switzerland; Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
2 Institute of Geography, University of Bern, Bern, Switzerland; Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland; Mobiliar Lab for Natural Risks, University of Bern, Bern, Switzerland
3 Federal Office of Meteorology and Climatology MeteoSwiss, Zurich, Switzerland